 |
 |
Conference papers
PREDICTIONS & MODELING ENERGY CONSUMPTION FOR IT DATA CENTER INFRASTRUCTURE
Abstract : Recent statistics of energy consumption by Cloud datacenter show the DCs consumes more and more energy each year .that crated big challenge in Cloud research. IT industry is keenly aware of the need for Green Cloud solutions that save energy consumption in Cloud DCs. A great deal of attention has been paid to minimize energy consumption in cloud datacenter. However, to understand the relationships between running tasks and energy consumed by hardware we need to propose mathematical models of energy consumption. The models of energy consumption can be help as to saving energy. Both researchers aim to proposed mechanism for energy consumption. In this paper, we analyzed the relationships between Cloud system manager and energy consumption. This paper aims at proposing and designing energy consumption models with mechanism of prediction energy.
Cited literature [12 references]
https://hal-univ-pau.archives-ouvertes.fr/hal-02437210
Contributor : Philippe Roose <>
Submitted on : Monday, January 13, 2020 - 4:04:32 PM
Last modification on : Friday, January 15, 2021 - 9:24:21 AM
Long-term archiving on: : Tuesday, April 14, 2020 - 5:54:16 PM
Contributor : Philippe Roose <>
Submitted on : Monday, January 13, 2020 - 4:04:32 PM
Last modification on : Friday, January 15, 2021 - 9:24:21 AM
Long-term archiving on: : Tuesday, April 14, 2020 - 5:54:16 PM
File
AI2SD2018_paper_2.pdf
Files produced by the author(s)